Y Combinator Jobs Scraper — Work at a Startup (1,000+ Jobs) avatar

Y Combinator Jobs Scraper — Work at a Startup (1,000+ Jobs)

Pricing

$0.90 / 1,000 job results

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Y Combinator Jobs Scraper — Work at a Startup (1,000+ Jobs)

Y Combinator Jobs Scraper — Work at a Startup (1,000+ Jobs)

Scrape the whole Work at a Startup board — 1,000+ live YC jobs, not just engineering. Each posting carries parsed salary, equity, visa policy, skills, full description and the hiring company's profile (industry, website, team size, founders). Filter by YC batch, role, type or remote. No start fee.

Pricing

$0.90 / 1,000 job results

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Nomad.Dev

Nomad.Dev

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7 hours ago

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Y Combinator Jobs Scraper — Work at a Startup

Fetch live openings at Y Combinator startups from Work at a Startup (workatastartup.com) as structured JSON.

Work at a Startup (workatastartup.com) is Y Combinator's official jobs marketplace, where current YC-backed companies post engineering, product, sales, design and operations roles. This Actor queries its public search API to find openings, then enriches each one from its public detail page — so every YC job comes back as a flat JSON record with structured salary, equity, visa, skills, full description and the hiring company's profile, without scraping HTML yourself or logging in.

What Y Combinator jobs data does this scraper extract?

Each result is one flat JSON record per job posting:

FieldMeaning
titleJob title as posted
companyHiring company / organisation
companySlugCompany's slug on Work at a Startup
companyBatchYC batch code (e.g. S23)
locationLocation / duty station (may include remote hints)
isRemotetrue when the location advertises a remote option
roleTypeRole category as tagged by the source (e.g. Machine learning)
jobTypeEmployment type, normalised (Full-time, Contract, Internship, Part-time)
salarySalary text exactly as published (e.g. $150K - $220K)
salaryMin / salaryMaxNumeric salary bounds parsed from the text (K expanded)
salaryCurrency / salaryPeriodISO currency (USD, INR, …) and period (year, month, …)
equityEquity range (e.g. 0.10% - 0.50%) — detail enrichment
visaSponsorshipVisa policy (e.g. Will sponsor) — detail enrichment
experienceMinimum experience (e.g. 3+ years) — detail enrichment
skillsSkill tags array (e.g. ["Figma", "Machine Learning"]) — detail enrichment
description / descriptionHtmlFull job description, plain text and HTML — detail enrichment
companyTaglineCompany one-liner
companyDescription / companyDescriptionHtmlCompany hiring pitch — detail enrichment
companyIndustryYC industry classification — detail enrichment
companyLogoCompany logo URL
companyWebsiteCompany website — detail enrichment
companyLocation / companyTeamSizeCompany HQ + headcount — detail enrichment
foundersFounder profiles (name, avatar, LinkedIn, past companies) — detail enrichment
applyUrlWork at a Startup application link
urlDirect link to the posting
postedAtAlways null — the source exposes no per-listing posting date (see companyLastActiveAt)
snippetShort context excerpt
idStable source-side identifier (also used for delta mode)
sourceFixed value "ycombinator_was"

Detail-enrichment fields are populated when includeJobDetails is on (the default). Turn it off for a faster, cheaper list-only run.

Coverage — the whole board, not just engineering

Work at a Startup's public search endpoint returns only ~20-30 hits per search term and offers no pagination, so a scraper's coverage is decided entirely by how many terms it fans out across. This Actor sweeps 60 role, stack, function and seniority terms, then deduplicates by job ID:

  • ~1,050 unique live jobs in a single maxItems: 0 run, in ~95 seconds.
  • Every role family the board tags — not just engineering. Sales, marketing, design, recruiting, finance, operations, QA, hardware and embedded roles are all reachable.
  • Every returned job is detail-enriched by default (descriptions, skills, equity, visa, founders), fetched concurrently rather than one at a time.

Set maxItems to cap the run — it stops fanning out as soon as the cap is met, so a 50-job run takes about 7 seconds and only touches the first few search terms.

How to scrape Y Combinator jobs with this Actor

  1. Click Try for free / Run — no login to the target site, no cookies, no proxies to configure.
  2. Adjust the input (keyword, filters, maxItems) or keep the defaults.
  3. Run it and export the dataset as JSON, CSV or Excel, or read it over the API.

Run it from your own code:

from apify_client import ApifyClient
client = ApifyClient("<YOUR_APIFY_TOKEN>")
run = client.actor("nomad-agent/ycombinator-was-scraper").call(run_input={"maxItems": 50})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item["title"], "—", item["company"], item["url"])

Or a single HTTP call that runs the Actor and returns items in one response:

curl -X POST \
"https://api.apify.com/v2/acts/nomad-agent~ycombinator-was-scraper/run-sync-get-dataset-items?token=<YOUR_APIFY_TOKEN>" \
-H "Content-Type: application/json" \
-d '{"maxItems": 50}'

Integrations

Chain this Actor with Zapier, Make, Slack, Airtable and Google Sheets via Apify's built-in integrations, schedule recurring runs with the Apify Scheduler, or pull results straight into your own pipeline with the Apify API.

Input

FieldTypeDefaultNotes
queriesarray(built-in set)Role-specific search terms to fan out across; each fetches an independent page, merged and deduplicated by job ID.
includeJobDetailsbooleantrueEnrich each posting from its detail page (description, skills, equity, visa, company profile). Off = fast list-only run.
titleExcludearray[]Skip postings whose title contains any of these terms (case-insensitive).
jobTypesarray[]Keep only these employment types (Full-time, Contract, Internship, Part-time).
companyBatchesarray[]Keep only these YC batches (e.g. S23, W24).
roleTypesarray[]Keep only role categories containing these terms (e.g. machine learning, frontend).
remoteOnlybooleanfalseKeep only postings whose location advertises a remote option.
maxItemsinteger50Max unique postings to return. Set 0 for no limit.
onlyNewSinceLastRunbooleanfalseDelta mode: return only postings not seen in a previous run (records carry isNew: true). Ideal for schedules.
cacheTtlSecondsinteger1800Cache upstream fetches (search + detail) for this many seconds; re-runs within the window skip the network. 0 disables.

Output example

{
"id": "73211",
"title": "Founding Engineer",
"company": "Lindy",
"companySlug": "lindy",
"companyBatch": "S23",
"location": "San Francisco, CA, US / Remote (US)",
"isRemote": true,
"roleType": "Machine learning",
"jobType": "Full-time",
"salary": "$150K - $220K",
"salaryMin": 150000,
"salaryMax": 220000,
"salaryCurrency": "USD",
"salaryPeriod": "year",
"equity": "0.10% - 0.50%",
"visaSponsorship": "Will sponsor",
"experience": "3+ years",
"skills": ["Python", "Machine Learning"],
"description": "We're building an AI executive assistant…",
"descriptionHtml": "<p>We're building an AI executive assistant…</p>",
"companyTagline": "AI executive assistant for busy professionals.",
"companyIndustry": "B2B -> Engineering, Product and Design",
"companyLogo": "https://bookface-images.s3.amazonaws.com/small_logos/…png",
"companyWebsite": "https://www.lindy.ai/",
"companyTeamSize": 25,
"founders": [{"name": "Flo Crivello", "linkedin": "https://www.linkedin.com/in/…"}],
"applyUrl": "https://www.workatastartup.com/jobs/73211",
"postedAt": null,
"url": "https://www.workatastartup.com/jobs/73211",
"source": "ycombinator_was"
}

postedAt is always null — neither the Work at a Startup search API nor the detail page exposes a per-listing posting date. companyLastActiveAt is included as a company-level freshness proxy where the source provides it.

Pricing

Pay per event, per job returned — and no Actor start fee. Until 27 July 2026 the price is $0.90 / 1,000 jobs. From 27 July 2026:

Your Apify planPrice per 1,000 jobs
Free$2.50
Starter$2.20
Scale$2.00
Business$1.80

No subscription, no rental, no start fee — you pay only for the jobs you actually get. Because there is no start fee, a scheduled delta run (onlyNewSinceLastRun) that finds nothing new costs you $0.00.

Use cases

  • Startup job boards and newsletters
  • Tracking YC-company hiring by batch
  • Sourcing candidates who want startup roles
  • VC portfolio talent intelligence

FAQ

Is it legal to scrape Y Combinator jobs? This Actor reads only publicly available job postings — data any visitor can see without logging in. No personal data behind authentication is touched. Review the target site's terms and your local regulations for your specific use case.

Do I need an account on the target site? No. Postings are fetched from public pages/APIs — no login, cookies or session tokens.

How fresh is the data? Every run fetches live listings. Results are cached for cacheTtlSeconds (default 30 min, set 0 to always hit the source live). For scheduled runs, enable onlyNewSinceLastRun to receive only postings that weren't returned by a previous run.

How many jobs can I get? maxItems caps the run (set 0 for no cap). The Work at a Startup search endpoint returns a fixed, unpaginated result set per query, so coverage is widened by fanning out across more queries terms, not by raising maxItems.

Does it cover every YC batch? Yes — results span all companies currently posting on Work at a Startup, across every batch. Use queries to target roles, companyBatches / roleTypes / jobTypes / remoteOnly to filter, and titleExclude to drop titles you don't want.

Something broken or missing? Open an issue on the Actor's Issues tab — it is monitored and reliability fixes ship fast.

Is this Actor useful to you? A quick ⭐ review on the Actor's Reviews tab helps other startup-job hunters find it — and tells us what to build next.